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The emergence of the COVID-19 virus has forced humanity to rethink the design of hospitals and prepare for probable future outbreaks. Even before the pandemic, there was a causal link between the design of hospitals and the spread of nosocomial infections. Also, previous studies have revealed correlations between climate change and the increased rate of the spread of infectious diseases. Hence, this review created a framework of strategies for pandemic resilient and sustainable hospitals while emphasising the role of architects in health promotion. The study conducted a qualitative content analysis of existing studies on the design of healthcare facilities post-pandemic to build the framework of strategies. The research was organised into short-, medium- and long-term measures for pandemic resilient design. The study has demonstrated that the framework for the space planning, ventilation and material specification of hospitals must be revised for pandemic resilient hospitals. The findings reveal that most of the design strategies that can control the spread of infection in a healthcare facility could also be a panacea for decreasing the carbon footprint of the hospitals. Nonetheless, the paper has established the need for further interdisciplinary study on design strategies for impending pandemics and applicable to all building typologies.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |